code: def shared_16x16_to_ldmatrix_32x8_layout(i, j):
      thread_id = 4 * (i % 8) + (j % 8) // 2
      return thread_id, 4 * (j // 8) + (i // 8) * 2 + (j % 2)
  
imports: from typing import Dict, Optional, Tuple, Literal
  from tvm._ffi import register_func
  from tvm.runtime import convert
  from tvm.script import tir
  from tvm.tir.function import PrimFunc
  from tvm.tir import Cast, IntImm, TensorIntrin
label_desc: Use image node_id 1 for calling a global function with example usage: shared_16x16_to_ldmatrix_32x8_layout(i, j) and returns: thread_id,  unknown